ANALYZING KEY DETERMINANTS OF ONCAMPUS PLACEMENT: A MACHINE LEARNING APPROACH

This paper presented a machine learningbased framework for analyzing key determinants of oncampus placement. The proposed system demonstrates improved predictive accuracy and identifies critical factors influencing employability outcomes.   Future work includes integrating deep learning models for largescale educational datasets, incorporating sentiment analysis from interview feedback, implementing realtime predictive dashboards for placement cells, and enhancing fairnessaware modeling to ensure unbiased predictions.

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